Testing two-step models of negative quantification using a novel machine learning analysis of EEG

dc.contributor.author	Augurzky, Petra
dc.contributor.author	Schlotterbeck, Fabian
dc.date.accessioned	2025-02-28T09:34:53Z
dc.date.available	2025-02-28T09:34:53Z
dc.date.issued	2024
dc.identifier.issn	2327-3798
dc.identifier.uri	http://hdl.handle.net/10900/162605
dc.language.iso	en	en
dc.publisher	Abingdon : Routledge Journals, Taylor & Francis Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1080/23273798.2024.2345302
dc.subject.ddc	610	de_DE
dc.subject.ddc	150	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	800	de_DE
dc.title	Testing two-step models of negative quantification using a novel machine learning analysis of EEG	de_DE
dc.type	Article	de_DE
utue.quellen.id	20241001000000_01778
utue.publikation.seiten	632-656	de_DE
utue.personen.roh	Ramotowska, S.
utue.personen.roh	Archambeau, K.
utue.personen.roh	Augurzky, P.
utue.personen.roh	Schlotterbeck, F.
utue.personen.roh	Berberyan, H. S.
utue.personen.roh	Van Maanen, L.
utue.personen.roh	Szymanik, J.
dcterms.isPartOf.ZSTitelID	Language Cognition and Neuroscience	de_DE
dcterms.isPartOf.ZS-Issue	5	de_DE
dcterms.isPartOf.ZS-Volume	39	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	05 Philosophische Fakultät